About OutcomeOps
Context Engineering for AI-assisted development. Give AI access to YOUR organizational knowledge.
The Problem
Engineers spend hours adapting AI-generated code to match organizational patterns, standards, and architectural decisions. Current AI tools generate generic code that requires manual refactoring to fit your actual needs.
Our Solution
OutcomeOps gives AI access to your organizational knowledge—ADRs, code-maps, architectural decisions—so it generates code that already matches your patterns. This is Context Engineering.
Who Built This
OutcomeOps was created by Brian Carpio, who previously built:
- Golden Pipelines (2014) - Took deployment from 6 weeks → 1 week at Aetna
- AWS ProServe - Led largest Healthcare & Life Sciences engagement in ProServe history
- Platform Engineering - Before it had a name, building self-service infrastructure at Pearson (2012), Aetna (2014), Comcast (2018)
The Philosophy
OutcomeOps applies the same playbook to AI-assisted development:
- Make the easy path the right path
- Bake standards into infrastructure
- Create velocity through automation
- This is golden pipelines for code generation
"DevOps gave us automation. OutcomeOps gives us augmentation."
This is the next corporate evolution beyond DevOps—where engineers own outcomes, not just outputs.